Senior Machine Learning Engineer

Job Title: Senior Machine Learning Engineer

Key Skills: Python, SQL, PySpark, Machine Learning, MLOps, Scikit-learn, PyTorch, XGBoost, TensorFlow, ML Pipelines, Kubernetes, Databricks, Cloud (AWS, GCP, Azure)

Experience: 5+ YOE.

Location: Colombia

Mode: Remote

We at Coforge are hiring Senior Machine Learning Engineer (#20529) with the following skill set.

Key Responsibilities

- Design, deploy, and scale machine learning systems and end-to-end ML pipelines in production environments. - Build and optimize distributed data processing workflows using Python, SQL, and PySpark. - Manage the complete ML lifecycle, including data ingestion, training, evaluation, deployment, monitoring, and model optimization. - Collaborate with cross-functional teams to deliver scalable ML solutions and improve model performance in cloud-based environments. Required Skills & Qualifications

- Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field (or equivalent practical experience). - 5+ years of industry experience as an ML Engineer with a focus on deploying and scaling ML systems. - Strong expertise in Python, SQL, and PySpark for distributed data processing. - Experience with machine learning frameworks such as scikit-learn, TensorFlow, XGBoost, and PyTorch. - Proven experience designing and managing ML pipelines using tools like MLflow or equivalent. - Hands-on experience deploying models in cloud environments such as AWS, GCP, Azure, or Databricks. - Experience managing end-to-end ML lifecycles at scale, including deployment and monitoring. - Experience deploying and managing containerized ML workloads using Kubernetes. - Strong communication skills and the ability to collaborate across technical and business teams. - Experience working in fast-paced, high-impact environments with multiple priorities. Preferred Skills:

- Experience working with healthcare data, including medical claims, pharmacy claims, eligibility data, and EHR systems. - Knowledge of MLOps practices including CI/CD for ML, automated retraining, and model versioning. - Experience with deep learning architectures for forecasting, sequential data, or hierarchical modeling. - Familiarity with Kubernetes-native ML tools such as Kubeflow, KServe, or Airflow on Kubernetes. - Advanced degree (M.S. or Ph.D.) in Computer Science, Data Science, or a related field. Posted On: 29-05-2026

At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

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